Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10C42A732B10C5DAFBB238699BBD7B269C38FA38D94314A30C96D057D8AC6F658433553 |
|
CONTENT
ssdeep
|
96:Mur6/QiTMpfjMZQ2wgn8CWFs4xoi28Carw23JMo1A97D9RKXCD03ppjN9xc7uxuA:UxgpfwJ8JRxPXjN9kw/Pm+PmyLqi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c78638993c65c766 |
|
VISUAL
aHash
|
00343430303c2000 |
|
VISUAL
dHash
|
d1ed6c6666484a30 |
|
VISUAL
wHash
|
7f777672723e2000 |
|
VISUAL
colorHash
|
100060000c0 |
|
VISUAL
cropResistant
|
c0c86986d469c4e4,c992c0ccc4d65262,d1ed6c6666484a30 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 13 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)